
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "84"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 91 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 87 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.002490	-0.340114	-0.116501	2.555587	-1.105183	0.582740	-0.737978	1.956044	0.7822	0.7980	0.2536	14.983768	13.754022
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.806265	0.518845	-0.733526	4.087867	-0.635831	-0.364116	-0.949291	-0.189548	0.7209	0.7217	0.2565	5.176659	5.410655
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.846515	-0.797278	1.452087	-0.059888	-0.691659	-0.982981	0.568342	-0.012613	0.0360	0.0326	0.0013	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.342404	0.007367	-0.600370	4.537140	-1.328420	-0.511020	-0.891614	-0.864317	0.6628	0.6778	0.3700	6.522342	6.506423
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.243168	0.559746	-0.500463	4.367329	-0.577783	0.338156	-0.093397	-0.714621	0.6654	0.6798	0.3625	5.009105	4.787307
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.597908	-0.110569	-0.134551	3.335388	1.123000	0.253064	-1.033695	0.942560	0.7084	0.7089	0.2799	5.476727	5.513656
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.059188	0.401797	-0.136601	5.220036	-0.845816	-0.629281	-0.745389	0.196544	0.7662	0.7588	0.2221	9.649143	8.536732
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	2.504600	0.319806	0.149830	7.207243	0.378612	3.219393	-1.190406	-0.578362	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	313.319957	314.177275	inf	inf	11.857273	12.187586	435.214707	574.869952	nan	nan	nan	0.000000	0.000000
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.862611	10.436412	0.626536	3.946435	-0.761341	5.388587	0.718577	1.152150	0.0357	0.0328	0.0011	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	18.851074	19.293809	4.836081	8.796742	4.899320	36.370792	2.610440	2.193815	0.6642	0.6730	0.3779	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.808493	-0.222200	0.638068	9.154474	0.872993	-0.823826	-0.580403	-0.475467	0.6680	0.6649	0.3811	3.485064	3.125672
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.375884	-0.314351	0.167551	9.793126	-0.254797	-0.340871	0.997489	-0.499104	0.6760	0.6740	0.3757	3.990573	3.388233
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.672090	1.511054	12.654221	4.403553	14.062277	3.231694	-0.877966	-1.427457	0.6526	0.6852	0.3867	0.000000	0.000000
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.800499	1.596309	14.653190	4.974093	14.413110	3.463743	-2.114512	-1.375248	0.6483	0.6807	0.3899	5.777313	5.686747
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	100.00%	0.00%	1.08%	0.00%	100.00%	0.00%	7.939405	1.663545	11.018066	3.741982	13.254304	4.136213	-1.425713	0.279843	0.6550	0.6719	0.3814	3.459684	3.405204
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.079779	1.241663	8.356057	2.599314	12.264059	1.904416	-1.790002	-1.349669	0.6756	0.7058	0.3858	4.405890	4.335763
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.735898	0.627265	8.987735	2.611534	10.796305	1.289510	6.312767	1.799660	0.7178	0.7496	0.3574	4.901627	5.138429
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.554506	1.167041	8.162682	2.368644	14.128851	2.199439	-0.208443	-1.104797	0.6660	0.6972	0.3918	3.772622	3.593601
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.336156	1.385133	15.996335	5.630401	15.928725	3.405184	-1.354043	-1.131539	0.6675	0.6903	0.3804	3.335763	3.349971
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.893873	1.011735	8.430628	2.638065	10.075994	1.924641	-2.329410	-1.518278	0.6765	0.6999	0.3759	4.297046	4.071288
2459571	RF_maintenance	100.00%	0.00%	0.00%	0.00%	-	-	4.326999	4.040087	32.739708	27.687588	23.567388	78.584812	0.541533	23.808037	0.6823	0.7117	0.3857	nan	nan
2459570	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.789275	3.585790	-1.818070	3.713205	-1.317643	3.591385	-0.081182	1.839898	0.6894	0.7109	0.3541	7.032978	5.472431
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	111.503023	113.301248	100.685714	103.958986	122.929569	93.752548	378.898330	453.473330	0.0164	0.0162	0.0003	1.132495	1.132062
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.038736	-0.677035	3.694640	-4.456687	0.459990	-1.818506	-1.690889	-1.054687	0.6849	0.7068	0.3842	3.032208	3.043231
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.961862	1.830085	25.426692	8.815631	13.760052	3.245615	-1.729666	-1.291954	0.6803	0.7024	0.3812	5.450240	4.528576
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.690870	-1.134661	1.403710	-2.611509	0.208140	-1.782291	-1.367532	-0.873868	0.6810	0.7087	0.3812	3.086641	2.914766
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.837446	-0.255493	-0.712146	7.796016	8.830734	98.385991	-1.763801	-1.032538	0.6963	0.6409	0.4123	3.259315	2.221930
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.602998	-0.853089	1.587020	-2.409595	0.550130	-1.533244	-1.723352	-1.029244	0.6752	0.7009	0.3894	3.273817	3.045594
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.551597	-0.606796	2.193919	-2.019758	0.958424	-1.678216	-1.368757	-1.081177	0.6732	0.7060	0.3847	2.861401	2.778607
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.845225	1.830200	13.731055	4.282406	15.639748	1.906445	-0.988657	-1.398256	0.6742	0.7019	0.3940	5.614912	5.100327
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.570614	2.163012	14.361104	4.457269	14.099947	1.986789	-1.514555	-2.088246	0.6802	0.7058	0.3862	5.549657	4.832844
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6771	0.7069	0.4013	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6751	0.7055	0.4032	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.535270	2.168046	18.786564	7.109143	20.658656	4.017151	0.669087	-0.855043	0.6826	0.7085	0.3864	6.522978	7.037642
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.674415	-0.543727	2.038527	-2.581117	0.695568	-2.555420	-1.992582	-1.181391	0.6851	0.7096	0.3745	3.220068	2.965008
2459550	RF_maintenance	-	89.29%	89.29%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.2293	0.2298	0.0717	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.672750	2.047680	14.088415	4.814497	14.886142	3.052705	-2.298779	-1.572107	0.6797	0.7085	0.3879	3.189393	3.194367
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.386260	1.757570	27.926127	10.301192	0.643572	-0.139075	-2.120228	-1.567964	0.7332	0.7596	0.3548	5.043274	4.094094
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.699722	2.926243	23.235371	8.740370	22.240153	5.766203	-3.373047	-2.506773	0.7071	0.7276	0.4100	3.632515	3.255403
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.290808	-0.336556	2.831820	-1.074694	3.067526	-2.899908	-0.508103	-1.135534	0.7684	0.7736	0.3602	3.320146	3.312013
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.788213	-0.671895	1.926947	-1.922848	0.400798	-1.547851	-1.184174	-1.068072	0.7603	0.7639	0.3543	8.912869	8.468946
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.811912	1.637446	14.565616	5.052259	12.822791	2.787786	-2.866925	-1.401306	0.6990	0.7252	0.3976	3.557564	3.077473
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.399366	2.394462	19.061337	6.576428	16.173799	3.780082	-2.166111	-1.485062	0.7010	0.7240	0.3925	2.918147	2.744781
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.907329	-0.755053	1.790740	-1.929247	0.887019	-2.507449	-0.760724	-1.039676	0.7060	0.7322	0.4027	3.184300	3.308307
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.767385	2.146991	15.448034	5.637692	31.099741	6.918386	-1.837058	-1.225903	0.9000	0.9410	0.3099	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	9.880195	2.272208	21.216976	7.852047	13.898404	6.697259	-5.977886	-2.263840	nan	nan	nan	5.497351	4.609331
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.255795	1.653539	19.270498	6.880605	7.884426	5.101586	-3.114836	-1.715036	0.6587	0.7216	0.3447	5.097680	4.810571
2459513	RF_maintenance	100.00%	0.00%	0.00%	0.00%	-	-	5.099662	5.629713	31.671386	26.788608	5.489452	39.014743	2.149699	12.061727	0.8538	0.8930	0.2252	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.553100	2.191681	12.461174	3.922079	13.532989	2.076151	10.981243	3.547550	0.8991	0.9555	0.2074	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.672706	0.447130	15.796585	5.002238	4.676063	0.373774	-0.644618	-1.223748	0.8797	0.8719	0.1951	17.290383	13.100852
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	12.773222	4.335536	15.982677	6.158398	26.728918	10.196970	-1.343062	-1.382478	0.8620	0.8753	0.4312	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	12.536508	4.253090	16.004669	5.938535	21.678724	6.318834	0.817662	-1.409741	0.8532	0.9007	0.3642	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	14.821865	5.502925	14.136519	5.333880	20.646862	7.611658	-1.105578	-1.199567	0.8534	0.8934	0.3608	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	15.592892	5.725542	16.729733	6.151619	20.698409	7.576153	1.218960	1.463621	0.8719	0.9498	0.1861	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	15.125139	5.963795	13.921673	5.465601	18.448134	7.139342	-0.536241	-1.184525	0.8635	0.8956	0.3856	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	17.741442	7.180312	14.822375	5.922287	23.795966	9.481435	-0.731714	-0.969336	0.8970	0.9365	0.3210	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	18.261074	6.967034	13.321208	5.242659	20.851731	8.068990	-0.403221	-1.026100	0.8353	0.8830	0.4066	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	14.738111	5.635040	12.101983	4.791065	17.848967	6.953671	-0.075934	-0.800228	0.8275	0.8755	0.4432	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	16.838157	6.361838	13.953539	5.428715	19.873521	7.334389	0.441250	-0.773020	0.8215	0.8676	0.4525	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	13.220867	5.736486	20.966859	8.605041	18.419085	6.922470	-4.686943	-3.234218	0.7135	0.7970	0.3188	0.000000	0.000000
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	12.374756	6.087850	21.942783	8.791892	25.693049	10.139344	0.645439	0.047800	0.7524	0.8111	0.2643	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	13.687189	6.128708	22.497020	9.479436	17.482098	7.165297	-0.648608	-2.231775	0.7240	0.8019	0.3518	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.637504	4.961535	21.289267	8.579739	17.056264	8.150369	-1.173930	-1.269514	0.7454	0.8101	0.3013	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.088460	4.153709	18.860918	7.773494	18.775670	7.296126	-2.829305	-2.545149	0.7445	0.8116	0.3288	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 84 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 84, Node 8:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 84: 2459615

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶